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19 Commits
Data Analysis - Correlation
Data Analysis - Correlation
 
 
Data Analysis - Create Box Plot
Data Analysis - Create Box Plot
 
 
Data Analysis - Descriptive Statistics
Data Analysis - Descriptive Statistics
 
 
Data Analysis - Scatter Plot
Data Analysis - Scatter Plot
 
 
Data Analysis - Scatter Plot with Trend
Data Analysis - Scatter Plot with Trend
 
 
Data Wrangling - Check Missing value
Data Wrangling - Check Missing value
 
 
Data Wrangling - Counting Missing Value
Data Wrangling - Counting Missing Value
 
 
Data Wrangling - Create Binning
Data Wrangling - Create Binning
 
 
Data Wrangling - Data Standarization
Data Wrangling - Data Standarization
 
 
Data Wrangling - Drop the Missing Value
Data Wrangling - Drop the Missing Value
 
 
Data Wrangling - Indicator Variable
Data Wrangling - Indicator Variable
 
 
Data Wrangling - Normalization
Data Wrangling - Normalization
 
 
Data Wrangling - Replace with Frequent Occuring data
Data Wrangling - Replace with Frequent Occuring data
 
 
Data Wrangling - Replace with Mean
Data Wrangling - Replace with Mean
 
 
Import Data - CSV File without Header
Import Data - CSV File without Header
 
 
Import Data - DB API
Import Data - DB API
 
 

About

This repository contains Python code and exercises from the "Data Analysis with Python" course on Coursera. It covers data cleaning, exploratory data analysis, statistical methods, and visualization using Pandas, NumPy, Matplotlib, and Seaborn. Explore the code and insights!

www.coursera.org/learn/data-analysis-with-python/lecture/9jjM3/getting-started-analyzing-data-in-python

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data-science data-analytics python-syntax import-csv-data
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